[dbjapan] Call for Papers: Workshop on Mobile Information Retrieval (MobIR2008)

[Yutaka Kidawara <kidawara [at] nict.go.jp>]

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			CALL FOR PAPERS

MobIR2008 Workshop on Mobile Information Retrieval
In conjunction with SIGIR'08 Singapore.

Aim and Scope
  Mobile Information Retrieval (MobIR’08) is a timely workshop
  concerned with the indexing and retrieval of textual, audio and
  visual information such as text, graphics, animation, sound,
  speech, image, video and their various possible combinations for
  use in mobile devices with wireless network connectivity.
  The proliferation of wireless and mobile devices such as personal
  digital assistants and mobile phones has created a large demand
  for mobile information content as well as effective mobile
  information retrieval techniques. New technologies are needed for
  representing, modeling, indexing, and retrieving mobile data. In
  particular, we need robust techniques to index/retrieve and
  compress mobile information, new scalable browsing algorithms
  allowing access to very large mobile databases, and semantic
  visual interfaces integrating the above components into unified
  mobile browsing and retrieval systems.
  The objective of this workshop is to provide a single forum for
  researchers and technologists to discuss the state-of-the-art,
  present their contributions, and set future directions in emerging
  innovative research for mobile information retrieval.

Topics of Interest
  Topics of interest include, but are not limited to the following:
	• Content-based extraction, indexing, annotating, and retrieval
	  of mobile data
	• Efficient retrieval models and query processing of mobile
	  information from distributed databases
	• Extraction of useful semantics in mobile information for indexing
	  and retrieval
	• Knowledge discovery through content and keyword fusion
	  in mobile summarization, indexing and retrieval
	• Mobile retrieval across multiple media types, network conditions,
	  and user preferences
	• Scalable browsing algorithms for large mobile databases
	• Automatic summarization and personalization in
	  mobile information
	• Efficient management and information mining of
	  mobile metadata
	• Mobile peer tagging and knowledge propagation
	• Mobile learning and user profiling for mobile
	  information retrieval
	• Digital rights management for mobile information retrieval
	• Secure and trusted information retrieval in mobile
	  wireless networks
	• Spatial data management, mining spatial data generated
	  by mobile users
	• Location based search for mobile devices

Submission
  We seek three kinds of submissions related to mobile
  information retrieval:
	• Full technical papers – up to 8 pages
	• Short technical papers and position papers – up to 4 pages
	• Prototype descriptions – 2 page description of the application

	Submitted papers should be in English using the ACM
	Conference style, see "the ACM template page"
	http://www.acm.org/sigs/pubs/proceed/template.html, using
	the "Option 2" style. Papers must not exceed 8 pages in 9 point
	font and must be submitted as pdf files.
	Papers must be submitted electronically, via the submission
	website https://cmt.research.microsoft.com/MobIR2008 on or
	before the submission deadline.

Workshop Publications
	All accepted papers will be published in the proceedings of the
	workshop. The proceedings will be printed and made available at the  
workshop.
	Selected revised papers from the workshop will be invited for
	consideration of publication in a special issue of a leading related
	journal and as a book chapter (to be confirmed).

Important Dates
	Submissions due: 26 May 2008
	Notification of acceptance: 16 June 2008
	Camera-ready manuscripts due: 25 June 2008
	Workshop date: 24 July 2008

Organizing Committee
	Kap Luk Chan, Nanyang Technological University (Singapore)
	Xing Xie, Microsoft Research Asia (China)
	Wang-Chien Lee, Penn State University (USA)
	Minoru Etoh, NTT DoCoMo (Japan)
	Flora S. Tsai, Nanyang Technological University (Singapore)

Contact Information
	For enquiries and further information, please contact:
	Kap Luk Chan: eklchan at ntu.edu.sg
	Xing Xie: Xing.Xie at microsoft.com

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